1. Which system in AI is used by understand and converse with humans through voice command ?
   1. Alexa
   2. Siri
   3. Cortana
   4. All of the above
2. Which of the following is an example of a unsupervised learning problem?
   1. Population growth prediction
   2. Market forecasting
   3. Market basked analysis
   4. Stocks predictions
3. What is the difference between supervised and unsupervised learning?
   1. Supervised learning requires labelled data while unsupervised learning does not.
   2. Unsupervised learning requires labelled data while supervised learning does not.
   3. Supervised learning does not require data while unsupervised learning does.
   4. There is no difference between supervised and unsupervised learning.
4. Artificial Intelligence is about ______
   1. Playing a game on computer
   2. Programming on machine with your own intelligence
   3. Putting your intelligence in the machine
   4. Making a machine intelligent
5. The term artificial intelligence was coined by ?
   1. Yann LeCun
   2. John McCarthy
   3. Seyedali Mirjalili
   4. Dr. Pushpak Bhattacharya
6. What is the definition of data science?
   1. The study of computer hardware
   2. The study of designing databases
   3. The study of collecting and analyzing data
   4. The study of data encryption techniques
7. Machine learning is a subset of which of the following
   1. Data Learning
   2. Deep Learning
   3. Artificial Intelligence
   4. Advanced Computing
8. Which are types of Machine learning? I - Semi-structured learning II - Supervised learning III- Structured learning IV- Unsupervised learning V - Reinforcement learning
   1. I, V
   2. II, III
   3. I, III, V
   4. II, IV, V
9. Which of the following are the application of AI? I - Data Security II - Gaming III - Social Media IV - Automotive Industry V - Robotics
   1. I, III, V
   2. II, IV
   3. I, III, IV, V
   4. I, II, III, IV, V
10. What is machine translation?
    1. Converting a human language to another
    2. Converting a human language to machine language
    3. Converting any human language to English
    4. Converting Opcode to machine language
11. Which of the following is an examples of supervised learning ?
    1. SVM (Support Vector Machine)
    2. PCA (Principal Component Analysis)
    3. apriori algorithm
    4. K-mean clustering
12. RNN stands for ______
    1. Recurring Neural Network
    2. Recursive Neural Network
    3. Removable Neural Network
    4. Recurrent Neural Network
13. Which of the following is not the goal of exploratory data analysis? 1. To identifying the cause. 2. To identify pattern in data 3. To identify relationship in data 4. To do unbiased evaluation
14. Which is true for neural networks? I - It has set of nodes and connections II - Each node computes it’s weighted input III- It is neurally implemented mathematical model
    1. I
    2. I, II
    3. II, III
    4. I, II, III
15. Natural Language processing is used in I - Text classification II - Topic modelling III- Chatbots
    1. I, II
    2. III
    3. I, III
    4. I, II, III
16. Which of the following is a common approach to reducing dimensionality in machine learning?
    1. Feature Selection
    2. Feature Extraction
    3. Feature Scaling
    4. Feature Engineering
17. Which algo is used for text classification?
    1. K-means Clustering
    2. Naive Bayes
    3. PCA
    4. Linear Regression
18. Which of the following is not correct in case of advantage of AI?
    1. It’s fast
    2. It reduces human error
    3. Implementation of it is cheaper
    4. High availability
19. The main and most important feature of RNN is ________
    1. Visible State
    2. Hidden State
    3. Present State
    4. Developed State
20. Data can be visualized using? I - Graphs II - Rings III - Charts IV- Maps